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Research/Strength training
Every study behind every protocol

Resistance training is associated with 10–17% lower all-cause mortality — independent of aerobic fitness

And muscle power (speed under load) predicts survival more than muscle strength

The protocol

Minimum: 60 min/week across 2+ sessions. Priority: compound movements (squat, deadlift, press, row) at moderate-high load. Add velocity emphasis: perform the concentric phase of each rep as fast as possible at moderate load (30–65% of max) to train the power component Araújo's data highlights.

The evidence

Mortality Reduction (Momma/BJSM 2022)
Momma et al. (Br J Sports Med, 2022) — systematic review and meta-analysis, 1.7 million participants: muscle-strengthening activities were associated with a 10–17% lower risk of all-cause mortality, cardiovascular disease, cancer, diabetes, and lung cancer, independent of aerobic activity. Notably, the benefits plateaued at approximately 60 minutes per week — suggesting the minimum effective dose is achievable by almost anyone. Resistance training is not optional for longevity.
Momma et al., Br J Sports Med, 2022 ↗ DOI · View study ↗
Power > Strength for Survival (Araújo 2025)
Araújo et al. (Mayo Clinic Proceedings, 2025) — 3,889 participants, 10.8-year follow-up, CLINIMEX Exercise cohort: relative muscle POWER (force × velocity) was a significantly stronger predictor of all-cause mortality than grip strength. Hazard ratio for lowest vs. highest power quartile: 5.88 in men, 6.90 in women. This is landmark data: "How fast can you lift?" is more predictive of longevity than "How much can you lift?" Muscle power declines earlier and faster than muscle strength with aging — making velocity-based training a longevity priority, not an athletic one.
Araújo et al., Mayo Clin Proc, 2025 ↗ DOI · View study ↗
The Sitting-Rising Test
Araújo's Sitting-Rising Test (SRT) — sit cross-legged to the floor and rise without using hands — assesses strength, power, balance, flexibility, and body composition simultaneously. European Journal of Preventive Cardiology (2014): SRT scores below 8/10 were associated with 2–5× higher mortality over 6 years. Scores of 0–3 carried 5–6× higher risk than scores of 8–10. Updated 2025 data confirms SRT also predicts cardiovascular-specific mortality. Try it: can you sit and rise from the floor without using your hands?
Brito & Araújo et al., Eur J Prev Cardiol, 2014 ↗ DOI · Araújo et al., Eur J Prev Cardiol, 2025 · View study ↗
Quality of Life, Function & Mental Health (Hart & Buck 2019)
Hart & Buck (Health Promotion Perspectives, 2019) — systematic review and meta-analysis of 16 randomized controlled trials in adults aged 50+: resistance training significantly improved health-related quality of life (SF-36/SF-12), spanning physical-function and mental-health domains. Strength training is associated not just with living longer but with living better — more function, less disability, better mood with age.
Hart & Buck, Health Promot Perspect, 2019 ↗ PubMed · View study ↗
The Minimum Effective Dose
A systematic review asked how little training still builds strength in men who already lift, and found six studies. In the five that could be pooled, a single set taken to failure — 6-12 reps at roughly 70-85% of one-rep max, 2-3 times a week for 8-12 weeks — produced an estimated 12.09 kg increase in overall 1RM (95% CI 8.16-16.03 kg). Pooled by lift, the estimates were 17.48 kg for the squat (95% CI 8.51-26.46) and 8.25 kg for the bench press (95% CI 0.68-15.83), with the bench figure far less certain — its lower bound sits close to zero. Across the six studies, training as little as once a week still produced significant gains, and the authors are explicit that this is "suboptimal, yet significant" — a floor, not an optimum. The evidence base is thin: six studies, all in resistance-trained men, and not all of them reported the load used. The authors say it is unclear whether the same holds for the deadlift, for trained women, or for highly trained strength athletes.
Androulakis-Korakakis et al., Sports Med, 2020 ↗ PubMed · View study ↗
Heavy Lifting and Bone Density
In this 8-month randomised trial, 101 postmenopausal women with low bone mass (average age 65) did either twice-weekly 30-minute supervised high-intensity resistance and impact training — 5 sets of 5 reps above 85% of one-rep max — or a home-based low-intensity program. The heavy-training group gained 2.9% in lumbar spine bone mineral density while the control group lost 1.2% (p<0.001). At the femoral neck the heavy-training group essentially held its ground (+0.3%, not a significant change on its own) while controls lost 1.9%, a between-group difference of p=0.004. Only one adverse event was reported across the whole trial — a minor lower back spasm costing two sessions — which matters because heavy lifting is conventionally discouraged in osteoporosis over fracture fear, though the trial was not powered to assess safety. This is a single trial in women screened for other conditions and medications, training under close supervision; the authors explicitly do not recommend this protocol unsupervised, and it is not evidence that unsupervised heavy lifting is safe for a fragile spine. If you have low bone density, talk to your doctor before adding heavy loading.
Watson et al., J Bone Miner Res, 2018 ↗ PubMed · View study ↗
Training to Failure versus Stopping Short
A meta-analysis of 13 training studies compared taking sets all the way to muscular failure against stopping a few reps short. For maximal strength there was no overall difference (SMD -0.08, p=0.642); only when training volumes were not matched between the groups did stopping short come out ahead (SMD -0.34, p=0.048). Power followed the same shape — no overall difference (SMD -0.20, p=0.239), with an edge to stopping short in the non-matched-volume comparisons (SMD -0.61, p=0.025). Training to failure was associated with more muscle growth in the overall analysis (SMD 0.75, p=0.005), but that difference disappeared once total volume was equalised, pointing to the extra work rather than the failure itself. Thirteen studies is a modest base, the review pooled randomised and non-randomised trials, the advantages for stopping short appear only in the comparisons where volume was not matched, and this analysis did not measure fatigue or injury.
Vieira et al., J Strength Cond Res, 2021 ↗ PubMed · View study ↗
Lifting and Depressive Symptoms
A meta-analysis pooled 54 effects from 33 randomised trials covering 1,877 adults and found resistance training was associated with a moderate reduction in depressive symptoms (effect size 0.66, 95% CI 0.48-0.83, pthe mood benefit did not track strength gains. Heterogeneity was high (I² 76%), and trials with blinded allocation and/or assessment reported smaller reductions, so the true effect may be smaller than the headline figure. The authors call for better-quality trials that blind both allocation and assessment and compare resistance training against other established treatments for depressive symptoms. If you are being treated for depression, treat this as a possible addition to your care and talk to your clinician before changing anything.
Gordon et al., JAMA Psychiatry, 2018 ↗ PubMed · View study ↗
Fibre Type Is a Different Cell, Not a Different Speed
Galpin and colleagues (Analytical Biochemistry, 2012) built and validated a way to measure protein content by muscle fibre type, typing 264 individual vastus lateralis fibres and then pooling them by type — about 20 fibres per pool — for quantification. The mitochondrial enzyme citrate synthase was 528% more abundant in slow MHC I fibres than in the fastest MHC IIx fibres, falling cleanly in order across the continuum. The glycolytic enzyme GAPDH ran the opposite way, up to 160% higher in fast fibres than in slow. The authors describe these as initial results indicating that proteins are distributed hierarchically across the slow-to-fast continuum — a pattern consistent with slow and fast fibres being metabolically distinct, rather than faster and slower versions of the same cell. This is a descriptive methods paper, not a test of how fibres respond to training.
Galpin et al., Anal Biochem, 2012 ↗ PubMed · View study ↗
Elite Weightlifters Are Two-Thirds Fast-Twitch
Vastus lateralis biopsies from 21 elite American weightlifters — 6 World/Olympic-caliber women, 9 National-caliber women and 6 National-caliber men, with 3 Olympic Games and 19 World Championships between them — showed what Serrano, Galpin and colleagues reported in 2019 as the highest pure fast-twitch (MHC IIa) concentrations then recorded in a healthy vastus lateralis: 67 ± 13% across the group, rising to 71 ± 17% in the World and Olympic-caliber women. The authors suggest that competitive caliber and years in the sport track fibre-type percentage more closely than biological sex does. Because these were one-time biopsies of already-elite lifters, the study cannot separate how much of that profile is inborn from how much reflects years of training.
Serrano et al., PLoS One, 2019 ↗ PubMed · View study ↗
A Fatigue Test Will Not Tell You Your Fibre Type
In 15 resistance-trained men, Bagley, Galpin and colleagues (J Strength Cond Res, 2017) measured peak knee-extension torque 46% higher than in recreationally active men, and a higher proportion of fast-twitch fibres — 61 ± 4% against 44 ± 4%, a gap of 17 percentage points. But the widely used Thorstensson fatigue test showed no relationship whatsoever with actual myosin heavy chain fibre type (R = 0.01), and the authors concluded it may not accurately estimate fibre-type composition in trained men. If you want to know your fibre type, a field fatigue test is not the way to find out. This is a cross-sectional comparison, so the higher fast-twitch proportion is associated with trained status rather than shown to be caused by training.
Bagley et al., J Strength Cond Res, 2017 ↗ PubMed · View study ↗
Continuous Tension at Moderate Loads (Russian IBMP School)
Moscow's Institute of Biomedical Problems — the cosmonaut-physiology institute — has studied lifting a moderate load "without relaxation", keeping the muscle under continuous tension rather than resting between repetitions, since a 2006 trial in young men reported strength and muscle gains from it. In ten strength-trained male athletes, a 54%-of-max session done this way produced roughly twice the blood lactate of the same load lifted normally, and that metabolic stress was associated with lower myostatin gene expression — myostatin being the brake on muscle growth. In a later study, eight trained lifters trained one leg at 65% of max and the other at 85%, both to failure: the mTORC1 signalling that drives muscle protein synthesis rose only after the moderate-load leg, which did more total work, while the heavy leg switched on a different pathway. Small, male, single-lab, and acute signalling is not the same as measured growth; the same group reports that heavy training still produced the larger gains. What it supports is that moderate loads taken close to failure are associated with the growth signal — not that they beat heavy lifting.
Popov et al., Human Physiology, 2006 ↗ PubMed · Popov et al., Muscle & Nerve, 2015 ↗ DOI · Lysenko et al., Physiol Rep, 2019 ↗ DOI · View study ↗
The ACTN3 "Speed Gene" in Russian Athletes
Alpha-actinin-3 is a protein of fast-twitch muscle fibres, and people with two copies of the ACTN3 "X" variant make none of it. In 486 Russian power athletes of regional or national standard compared with 1,197 controls, that XX genotype was less than half as common among the athletes (6.4% vs 14.2%), and rarest of all — 3.4% — among the most elite. A follow-up genotyped 1,423 Russian athletes for 15 metabolic gene variants and found a high count of "endurance" variants in 85.7% of the best endurance athletes against 37.8% of controls. The ACTN3 direction has held in every meta-analysis since, with a modest effect and some publication bias; the individual endurance variants are candidate-gene findings that have not been independently replicated and should not be read as a list of longevity genes. This is association in elite athletes, not a verdict on anyone's training: genes shape the ceiling, and the floor is what you do.
Druzhevskaya et al., Eur J Appl Physiol, 2008 ↗ DOI · Ahmetov et al., Human Genetics, 2009 ↗ DOI · View study ↗